QTIP: Quantization with Trellises and Incoherence
Processing
Albert Tseng, Qingyao Sun, David Hou, Christopher De
Sa
Advances in Neural Information Processing Systems (NeurIPS),
2024
Spotlight
[Paper] [Code]
QuIP#: Even Better LLM Quantization with Hadamard
Incoherence and Lattice Codebooks
Albert Tseng*, Jerry Chee*, Qingyao Sun, Volodymyr
Kuleshov, Christopher De Sa
International Conference on Machine Learning (ICML), 2024
[Paper] [Code]
Shadow Cones: A Generalized Framework for Partial Order
Embeddings
Tao Yu*, Toni J.B. Liu*, Albert Tseng, Christopher De
Sa
International Conference on Learning Representations (ICLR),
2024
[Paper]
Coneheads: Hierarchy Aware Attention
Albert Tseng, Tao Yu, Toni J.B. Liu, Christopher De
Sa
Advances in Neural Information Processing Systems (NeurIPS),
2023 [Paper]
Automatic Synthesis of Diverse Weak Supervision Sources
for Behavior Analysis
Albert Tseng, Jennifer J. Sun, Yisong Yue
IEEE Conference on Computer Vision and Pattern Recognition
(CVPR), 2022
[Paper]
Learning Calibratable Policies using Programmatic
Style-Consistency
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan,
Matthew Hausknecht
International Conference on Machine Learning (ICML), 2020
[Paper]
* equal contribution
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Last updated June 2024.